Alexander Leong
Software Engineer
Brisbane, Australia (open to relocation)
Email: toshibaalexander@gmail.com
Current Status: Still testing my Conic Optimization Solver, yes it is in Julia!
About
Software engineer with broad experience in multiple industries from Finance, IT to Aerospace and R&D.
I primarily develop back-end applications in C++, Julia and Python and avid Generative AI optimist.
My main research interests are specifically developing algorithms and systems that can scale to large problems because that's what enables solutions to deliver real-world impact.
Over the course of my life I enjoy travelling, photography and just applying mathematics to solve the most challenging problems.
I wish I had time to do things I don't normally do (exploration vs exploitation). Maybe Generative AI can help with that.
Experience
Boeing
Brisbane, Australia
Worked across several projects from developing scheduling optimization software, building database and distributed systems and mobile web applications for factory mechanics.
Programming Languages: C++, C#, Go, Java, Python, Typescript
Suncorp Group
Brisbane, Australia
Streamlining data-driven systems used in pricing optimization.
Programming Languages: SAS
Education
(2013) BEng Software Engineering
Queensland University of Technology, Brisbane, Australia
Selected Projects and Presentations
Path Planning using Polynomial Optimization
Presented In-person at JuliaCon 2024, Eindhoven, Netherlands
Developing optimization methods for robust obstacle avoidance.
WebAppMRI Compressed Sensing and Denoising
Presented In-person at JuliaCon 2023, Cambridge, Massachusetts
This dashboard application can be used to further research into the application of compressed sensing techniques in magnetic resonance imaging using isometric and anisotropic filtering via the Split-Bregman method.
Presented at JuliaCon 2023 Cambridge, MA
YouTube | WebAppUnscented Kalman Filter on TrajAir
This demo application helps better understand how an unscented kalman filter can be tuned to estimate flight trajectories.
WebApp